Skip to main content
Kent Academic Repository

Twin Grid-array as 3.6 GHz Epidermal Antenna for Potential Backscattering 5G Communication

Hughes, Jack, Occhiuzzi, Cecilia, Batchelor, John C., Marrocco, Gaetano (2020) Twin Grid-array as 3.6 GHz Epidermal Antenna for Potential Backscattering 5G Communication. IEEE Antennas and Wireless Propagation Letters, . pp. 1-5. ISSN 1536-1225. E-ISSN 1548-5757. (doi:10.1109/LAWP.2020.3023291) (KAR id:82944)

Abstract

Emerging 5G infrastructures can boost innovative paradigms for future wearable and epidermal devices exploiting low-power (even passive) wireless backscattering-based communication. To compensate high body- and path-losses, and to extend the read range, array configurations are required. This work proposes a flexible monolithic epidermal layout, based on Krauss array concept, that operates at 3.6 GHz and it is suitable to be directly attached to the human body. The antenna involves a dual grid configuration with a main radiating grid backed by a grid reflector placed in touch with the skin. Overall, the amount of conductor an dielectric substrate are minimized with benefit to breathability. The antenna is suitable to surface feeding and produces a broadside radiation. Parametric analysis are performed and an optimal configuration of four-cells grid is derived and experimentally demonstrated to provide a maximum

gain of more than 6 dBi.

Item Type: Article
DOI/Identification number: 10.1109/LAWP.2020.3023291
Projects: Passively Powered Non-Invasive Human Body Sensing on Bio- Degradable Conformal Substrates
Uncontrolled keywords: Epidermal electronics, flexible electronics, epidermal array antenna, 5G antenna.
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7871.6 Antennas and waveguides > TK7871.67.M53 Microwave antennas
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Depositing User: John Batchelor
Date Deposited: 15 Sep 2020 20:42 UTC
Last Modified: 04 Mar 2024 17:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/82944 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.